Top Machine Learning Jobs in Krakow

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Develop high-quality native Android applications, focusing on user experience and adhering to Google's clean architecture guidelines. Lead end-to-end projects using Kotlin and Jetpack Compose.

The role involves leading R&D projects to model and simulate power systems, utilizing machine learning and numerical simulations to support energy transition efforts.

Lead cross-functional teams in R&D projects related to HVDC technology, from ideation to implementation, ensuring alignment with strategic goals and deliverables.

The Investor Services Senior Administrator executes tasks in the Investor Services Department, including reviewing transactions, liaising with investors, and preparing reports.

Lead and implement a multi-year SCM continuous improvement strategy, utilizing Lean principles and advanced analytics to optimize processes, mentor teams, and deliver business results.

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.

The R&D Scientist will enhance simulation-based engineering processes using ML, lead research projects, collaborate globally, and publish findings.

The role involves conducting R&D in process mining, proposing projects, collaborating with teams, implementing solutions, and disseminating results in publications.

As a Senior Middle Office Associate, manage trade lifecycle, ensure accuracy in trade bookings, resolve discrepancies, and communicate with clients and vendors effectively.

The Data Scientist will develop AI and data science solutions, analyze structured data, implement machine learning techniques, and collaborate with business teams to generate value from data initiatives.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

Lead the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

The Fund Accounting Director leads NAV processes, manages accounting teams, ensures timely delivery, and collaborates with clients and internal departments while resolving issues and enhancing procedures.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The Director of AI Engineering will lead AI initiatives, build teams in Poland, represent Relativity's AI strategy, and mentor talent while promoting innovation and data-driven practices.

The Lead .NET Engineer will develop scalable software solutions, lead an Agile team, and work with AI technologies to enhance the search functionalities of justice systems, while ensuring best engineering practices.

The Middle Office Supervisor will confirm trade and cash details, ensure trade booking accuracy, communicate with clients, and implement tech solutions.

The Senior Project Manager will lead complex software delivery projects, engage with clients, oversee distributed teams, and manage project financials and risks.

As a Senior Project Manager, you will lead complex software and AI project deliveries, manage cross-regional teams, and engage with clients to align technology solutions with business goals.